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Seems like a minor technical challenge (at least in the case of games)

1. Set up a pseudo-adversary NN trained to recognize context-correct speech based on a small corpus. 2. Craft a GPT-3 prompt to get N 9s of accuracy 3.Retry if the answer fails the test from the other NN 4. Set a cap on retries based on how many 9s your prompt got 5. If cap exceeded, return a context-free or limited context response



Sorry. Fixed list:

1. Set up a pseudo-adversary NN trained to recognize context-correct speech based on a small corpus.

2. Craft a GPT-3 prompt to get N 9s of accuracy

3.Retry if the answer fails the test from the other NN

4. Set a cap on retries based on how many 9s your prompt got

5. If cap exceeded, return a context-free or limited context response


This solution would indeed work well enough for me (I'd be paranoid enough to add a tiny blacklist at the end just in case).




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